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efficient exploration of this multidimensional space. Working with the colleagues at the University of Liverpool, you will also help develop process‑optimisation algorithms toward autonomous operation and
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Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic auditing
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equipment, electronics and sensor integration, and working effectively within multidisciplinary teams. Experience with mobile manipulator robots, Linux, ROS/ROS2, algorithm design, and laboratory automation
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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capable of supporting and collaborating with humans in complex, real-world settings. You will be responsible for researching and developing novel algorithms and techniques to achieve the project’s
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on the design and performance analysis of resource allocation algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project "Utility Optimization
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, including deconvolution algorithms to determine tissue-of-origin signals and gene expression patterns from cfDNA. Additionally, the role provides opportunities to participate in ongoing cfDNA bioinformatics
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of statistical algorithms. Duties include undertaking your own programme of research and assisting with ongoing research programmes, using databases, modelling, and computation as appropriate; writing up results
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solvers • Implementing and analysing online optimisation algorithms for real-time grid balancing • Liaising with project partners (NESO and University of Strathclyde) Essential selection
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to trace how welfare algorithms operate in practice. They will also contribute to comparative analysis across case study countries, support interdisciplinary collaboration, engage with external stakeholders